1. Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China 2. Center for Assessment and Development of Real Estate, Shenzhen 518040, China 3. Yangze River Scientific Research Institute, Wuhan 430010, China
To study the spatial distribution of population density in illegal buildings in Shenzhen, the authors used GIS technologies such as spatial autocorrelation analysis method and regression analysis method. Spatial autocorrelation analysis method was used to study the spatial distribution pattern of the population density in illegal buildings in Shenzhen. Both monocentric population density models and multi-centric population density models were fitted by regression analysis method. The study results show that the spatial clustering pattern of the population density is existent according to the global Moran' s I index, and the area joining the Futian, Luohu and Longhua district is the hot spot area according to the Local Moran’s I and Getis-Ord Gi* index. The fitting results show that, among all the population density models, the quadratic exponential model can best describe population density distribution in illegal buildings of Shenzhen, while the overall fitting results of multi-centric models are at low level, which shows that the multiple centers fail to form the population in illegal buildings. The quadratic exponential model can not only obtain the best result from statistical point of view but also verify that it fits the crator theory well with rent data of illegal buildings.
刘瑞, 蒋旭, 赵静, 李云帆. 基于GIS的深圳市违法建筑居住人口密度空间分布研究[J]. 国土资源遥感, 2018, 30(1): 233-237.
Rui LIU, Xu JIANG, Jing ZHAO, Yunfan LI. GIS based research on the spatial distribution of population density in illegal buildings in Shenzhen City. Remote Sensing for Land & Resources, 2018, 30(1): 233-237.
Cao W C,Tao H P,Tan L,et al.Simulation of mountain population distribution based on multi-source spatial data[J].Remote Sensing for Land and Resources,2012,24(2):61-67.doi:10.6046/gtzyyg.2012.02.12.
Zhu Y X,Zhang J Z,Nie Q.A study of the population spatial distribution model based on spatial statistics in Shandong Province[J].Remote Sensing for Land and Resources,2011,23(4):147-150.doi:10.6046/gtzyyg.2011.04.27.
Liu F,Ma J H,Song Y H,et al.Study on the patterns of spatial population distribution based on the integration of spatial statistical analysis and GIS:A case study of Tianshui City in Gansu Province[J].Geography and Geo-Information Science,2004,20(6):18-21.
Han J,Li D,Cui L X,et al.The research on the spatial structure of population based on GIS[J].Journal of Arid Land Resources and Environment,2015,29(2):27-32.
[11]
Wang F H.Quantitative Methods and Applications in GIS[M].Boca Raton,FL:CRC Press,2006.
Chen H J,Peng L Q,Feng W Z.A GIS-based study on the directional property of urban population density distribution:A case study with Shijiazhuang as working example[J].Areal Research and Development,2010,29(5):132-137.
Zhang A,Qi Q W.GIS based analysis on spatial structure urban internal population:A case study in Shenzhen City[J].Progress in Geography,2007,26(1):95-105.
Wang S B,Shen R H.Application of improved Leslie model in large floating population city:A case study in Shenzhen City[J]. Management Observer, 2013(23):89-90.